Model comparison
Llama 13b vs Olmo 2 0325 32b Instruct
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 24.4 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Olmo 2 0325 32b Instruct in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 2 0325 32b Instruct leads 42.1 to 13.8.
Side by side
| Llama 13b | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 24.4 | 32.7 |
| Released | 2023-02-24 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
Llama 13b: 21.4 (#337), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 683 | 1210 |
Reasoning Olmo 2 0325 32b Instruct leads
Llama 13b: 14.0 (#329), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 728 | 1208 |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Too close to call
Llama 13b: 26.7 (#256), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 838 | 1208 |
| Omni-MATH | — | 16.1% |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | — | 41.4% |
| GPQA (HELM) | — | 28.7% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Olmo 2 0325 32b Instruct: —
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Olmo 2 0325 32b Instruct leads
Llama 13b: 16.6 (#297), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 819 | 1160 |
| LMArena Chinese | — | 1192 |
| LMArena Russian | — | 1187 |
Instruction Following Olmo 2 0325 32b Instruct leads
Llama 13b: 36.7 (#305), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 781 | 1186 |
| IFEval | — | 78% |
Long Context Not comparable
Llama 13b: —, Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1194 |
Writing & Preference Olmo 2 0325 32b Instruct leads
Llama 13b: 13.8 (#312), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Llama 13b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 834 | 1218 |
| LMArena Creative Writing | 794 | 1199 |
| LMArena Multi-Turn | 753 | 1221 |
| WildBench | — | 73.4% |
Frequently asked questions
Is Llama 13b better than Olmo 2 0325 32b Instruct?
Olmo 2 0325 32b Instruct is the stronger model overall, scoring 32.7 to 24.4 on the Noometry Index.
Is Llama 13b or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Olmo 2 0325 32b Instruct share?
8 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.